Book Chapters
[1] S. Silvestri, B. Holbert, P. Novotny, T. La Porta, A. Wolf and A. Swami.
Inferring Network Topologies in MANETs: Application to Service Redeployment
in Advances in Computer Communications and Networks - from green, mobile, pervasive networking to big data computing, River Publisher, December 2016, ISBN: 9788793379879.
Journals
[36] A. K. Singh, B. J. BalabayglooBehzad, B. BekeeBarituka, S. W. Blair, S. Fey, F. Fotouhi, A. Gupta, A. Jha, J. C. Martinez-Palomares, K. Menke, A. Prestholt, V. K. Tanwar, X. Tao, A. Vangala, M. E. Carroll, S. K. Das, G. DePaula, P. Kyveryga, S. Sarkar, M. Segovia, S. Silvestri, C. Valdivia. Smart connected farms and networked farmers to improve crop production, sustainability and profitability Frontiers in Agronomy, Vol. 6, 2024.
[35] E. Casella, S. Silvestri, D. A. Baker, S. K. Das. A Human-Centered Power Conservation Framework based on Reverse Auction Theory and Machine Learning ACM Transactions on Cyber-Physical Systems, (to appear).
[34] X. Tao, D. Monaco, A. Sacco, S. Silvestri, G. Marchetto. Delay-Aware Routing in Software-Defined Networks via Network Tomography and Reinforcement Learning IEEE Transactions on Network Science and Engineering, (to appear).
[33] E. Casella, M. Cantor, S. Silvestri, D. Renaud, J. H. C. Costa. A Machine Learning and Optimization Framework for the Early Diagnosis of Bovine Respiratory Disease IEEE Access, Vol. 11, 2023.
[32] A. Timilsina, S. Silvestri. P2P Energy Trading through Prospect Theory, Differential Evolution, and Reinforcement Learning ACM Transactions on Evolutionary Learning and Optimization, Special Issue on Evolutionary Reinforcement Learning, Vol. 3, Issue 3, 2023.
[31] M. Cantor, E. Casella, S. Silvestri, D. Renaud, J. H. C. Costa. Using machine learning and behavioral patterns observed by automated feeders and accelerometers for the early indication of clinical Bovine Respiratory Disease status in preweaned dairy calves Frontiers in Animal Science, July 2022
[30] J. Codispoti, A. R. Khamesi, N. Penn, S. Silvestri, E. Shin. Learning from Non-Experts: An Interactive and Adaptive Learning Approach for Appliance Recognition in Smart Homes, ACM Transactions on Cyber-Physical Systems, Vol. 6, Issue 2, 2022.
[29] F. B. Sorbelli, C. M. Pinotti, S. Silvestri, S. K. Das. Measurement Errors in Range-based Localization Algorithms for UAVs: Analysis and Experimentation IEEE Transactions on Mobile Computing, Vol. 21, Issue 4, 2022.
[28] A. Timilsina, A. R. Khamesi, V. Agate, S. Silvestri. A Reinforcement Learning Approach for User Preference-aware Energy Sharing Systems in IEEE Transactions on Green Communications and Networking, Vol. 5, Issue 3, 2021. Special Issue on Green Internet of Things: Challenges and Future Opportunities.
[27] S. Bhattacharjee, V. P. K. Madhavarapu, S. Silvestri, S. K. Das. Attack Context Embedded Data Driven Trust Diagnostics in Smart Metering Infrastructure ACM Transactions on Privacy and Security, Vol. 24, Issue 2, 2021.
[26] K. Hazra, V. K. Shah, M. Bilal, S. Silvestri, S. K. Das, S. Nandi, S. Saha. Designing Efficient Communication Infrastructure in Post-disaster Situations with Limited Availability of Network Resources, in Elsevier Computer Communication Journal (COMCOM), Vol. 164, 2020.
[25] E. Casella, A. R. Khamesi, S. Silvestri. A Framework for the Recognition of Horse Gaits Through Wearable Devices Esevier Pervasive and Mobile Computing, Special Issue on Mobile and Social Sensing, Vol. 67, 2020
[24] V. K. Shah, S. Silvestri, S. Bhattacharjee, S. K. Das. A Diverse Band-Aware Dynamic Spectrum Access Network Architecture for Delay-Tolerant Smart City Applications, IEEE Transactions on Network and Service Management, Vol. 17, Issue 2, 2020.
[23] A. Sturaro, S. Silvestri, M. Conti, Sajal K. Das. A Realistic Model for Failure Propagation in Interdependent Cyber-Physical Systems in IEEE Transactions on Network Science and Engineering, Vol. 1, Issue 2, 2020. Special Issue on Network Science for High -Confidence Cyber-Physical Systems.
[22] A. Khamesi, S. Silvestri, D. Baker, A. De Paola. Perceived-Value Driven Optimization of Energy Consumption in Smart Homes in ACM Transactions on Internet of Things, Vol. 1, Issue 2, 2020.
[21] E. Casella, M. Ortolani, S. Silvestri, S. K. Das. Hierarchical syntactic models for human activity recognition through mobility traces in Springer Personal and Ubiquitous Computing, 2019.
[20] F. Restuccia, P. Ferrero, S. Silvestri, S. K. Das, G. Lo Re. IncentMe: Effective Mechanism Design to Stimulate Crowdsensing Participants with Uncertain Mobility in IEEE Transactions on Mobile Computing, Vol. 18, Issue 7, 2019.
[19] V. K. Shah, S. Bhattacharjee, S. Silvestri, S. K. Das. Designing Green Communication Systems for Smart & Connected Communities via Dynamic Spectrum Access in ACM Transactions on Sensor Networks, Vol. 14, Issue 3-4, 2018.
[18] S. Silvestri, R. Urgaonkar, M. Zafer, B. Ko. A Framework for the Inference of Sensing Measurements based on Correlation in ACM Transactions on Sensor Networks, Vol. 15, Issue 1, 2018.
[17] F. Restuccia, P. Ferrero, S. Silvestri, S. K. Das, , G. Lo Re. FIRST: A Framework for Optimizing Information Quality in Mobile Crowdsensing Systems in ACM Transactions on Sensor Networks, Vol. 15, Issue 1, 2018.
[16] F. B. Sorbelli, S. K. Das, C. M. Pinotti, S. Silvestri(∗). Range based Algorithms for Precise Localization of Terrestrial Objects using a Drone in Elsevier Pervasive and Mobile Computing, Vol. 48, 2018.
[15] R. Zhang, S. Newman, M. Ortolani, S. Silvestri. A Network Tomography Approach for Traffic Monitoring in Smart Cities in IEEE Transactions on Intelligent Transportation Systems, Vol. 19, Issue 7, 2018. Special issue on Advances in Smart and Green Transportation for Smart Cities
[14] N. Bartolini, S. Ciavarella, S. Silvestri, T. La Porta. On critical service recovery after massive network failures in IEEE Transactions on Networking, Vol. 25, Issue 4, 2017.
[13] N. Bartolini, T. Calamoneri, S. Ciavarella, S. Silvestri, T. La Porta. Autonomous mobile sensor placement in complex environments in ACM Transactions on Autonomous and Adaptive Systems, Volume 12, Issue 2, 2017.
[12] S. Silvestri, K. Goss. MobiBar: an autonomous deployment algorithm for barrier coverage with mobile sensors in Elsevier Ad Hoc Networks, Vol. 54, pp. 111-129, 2017.
[11] M. Lin, S. Silvestri, N. Bartolini, T. La Porta. Selective Activation in Dense Femtocell Networks in IEEE Transactions on Wireless Communications, Vol. 15, Issue 10, pp. 7018 - 7029, 2016.
[10] S. Ciavarella, J.-Y. Joo, S. Silvestri. Managing Contingencies In Smart Grids Via The Internet Of Things in IEEE Transactions on Smart Grid, Vol. 7, Issue 4, pp. 2134-2141, 2016
[9] N. Bartolini, S. Ciavarella, S. Silvestri, T. La Porta. On the vulnerabilities of the Voronoi-based approach to mobile sensor deployment in IEEE Transactions on Mobile Computing, Vol. 15, Issue 12, 2016.
[8] B. Holbert, S. Tati, S. Silvestri, T. La Porta, A. Swami. Network Topology Inference with Partial Path Information in IEEE Transactions on Network and Service Management, Vol. 12, Issue 1, 2015.
[7] N. Bartolini, G. Bongiovanni, T. La Porta, S. Silvestri(∗). On the vulnerabilities of the virtual force approach to mobile sensor deployment in IEEE Transactions on Mobile Computing, Vol. 13, Issue 11, 2014.
[6] N. Bartolini, A. Massini, S. Silvestri(∗). P&P: an Asynchronous and Distributed Protocol for Mobile Sensor Deployment in Springer Wireless Networks Journal, Vol. 18 Issue 4, page 381, 2012.
[5] N. Bartolini, T. Calamoneri, T. La Porta, C. Petrioli, S. Silvestri(∗). Sensor Activation and Radius Adaptation (SARA) in Heterogeneous Sensor Networks in ACM Transactions on Sensor Networks, Vol. 8, Issue 3, page 24, 2012.
[4] N.Bartolini, T. Calamoneri, T. La Porta, S. Silvestri(∗). Autonomous deployment of heterogeneous mobile sensors in IEEE Transactions on Mobile Computing, Vol. 10, no. 6, page 753, 2011.
[3] N. Bartolini, T. Calamoneri, A. Massini, S. Silvestri(∗). On adaptive density deployment to mitigate the sink-hole problem in mobile sensor networks in Springer Mobile Networks and Applications, Vol. 16, Issue 1, page 134, 2011.
[2] N. Bartolini, T. Calamoneri, E. G. Fusco, A. Massini, S. Silvestri(∗). Push&Pull: autonomous deployment of mobile sensors for a complete coverage in Springer Wireless Networks Journal, Vol. 16, no. 3, Page 607, 2010.
[1] N. Bartolini, G. Bongiovanni, S. Silvestri(∗). Self-* through self-learning: overload control for distributed web systems in Elsevier Computer Networks, Vol. 53, no. 5, page 727, 2009.
Proceedings of International Conferences
[58] X. Tao, J. Butcher , F. Esposito, S. Silvestri. iCrop: Enabling High-Precision Crop Disease Detection via LoRa Technology in the IEEE International Conference on Computer Communications and Networks (ICCCN 2024)
[57] N. Seyedtalebi , S. Silvestri. Human Activity Recognition Using Spectrograms of Binary Motion Sensor Data in the International Workshop on Intelligent Systems for the Internet of Things (ISIoT 2024)
[56] X. Tao, E. Damron , S. Silvestri. High-Precision Crop Monitoring Through UAV-Aided Sensor Data Collection in the IEEE International Conference on Communications (ICC 2024)
[55] X. Tao, S. Silvestri. Network Tomography and Reinforcement Learning for Efficient Routing in the IEEE International Conference on Mobile Ad-Hoc and Smart Systems (MASS 2023), short paper
[54] A. Timilsina, S. Silvestri. e-Uber: A Crowdsourcing Platform for Electric Vehicle Ride- and Energy-sharing in the IEEE International Conference on Mobile Ad-Hoc and Smart Systems (MASS 2023), short paper
[53] R. Alden, A. Timilsina, S. Silvestri, D. Ionel. V2G Optimization for Dispatchable Residential Load Operation and Minimal Utility Cost in the IEEE Transportation Electrification Conference & Expo (ITEC 2023)
[52] A. Timilsina, S. Silvestri. Prospect Theory-inspired Automated P2P Energy Trading with Q-learning-based Dynamic Pricing in the IEEE Global Communications Conference (GLOBECOM 2022)
[51] E. Casella, E. Sudduth, S. Silvestri. Dissecting the Problem of Individual Home Power Consumption Prediction using Machine Learning in the IEEE International Conference on Smart Computing (SMARTCOMP 2022) - Work in Progress
[50] M. Cantor, E. Casella, S. Silvestri, D. Renaud, J. H. C. Costa. Using machine learning and precision livestock farming technology for early indication of health status in preweaned dairy calves in the European Conference on Precision Livestock Farming (ECPLF 2022)
[49] E. Casella, M. C. Cantor, S. Silvestri, D. L. Renaud, J. H. C. Costa. Cost-aware Inference of Bovine Respiratory Disease in Calves using Precision Livestock Technology in the IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS 2022)
[48] E. Casella, A. R. Khamesi, S. Silvestri, D. A. Baker, S. K. Das. HVAC Power Conservation through Reverse Auctions and Machine Learning in the IEEE International Conference on Pervasive Computing and Communications (PerCom 2022)
[47] A. R. Khamesi, S. Silvestri. Reverse Auction-based Demand Response Program: A Truthful Mutually Beneficial Mechanism in the IEEE International Conference on Mobile Ad Hoc and Sensor Systems (MASS 2020)
[46] A. R. Khamesi, R. Musmeci, S. Silvestri, D. A. Baker. Reproducibility of Survey Results: A New Method to Quantify Similarity of Human Subject Pools in the IEEE Global Communications Conference (GLOBECOM 2020)
[45] S. M. Saghaian, T. La Porta, S. Silvestri, P. McDaniel. Improving Robustness of a Popular Probabilistic Clustering Algorithm Against Insider Attacks in the EAI International Conference on Security and Privacy in Communication Networks (SecureComm 2020)
[44] E. Shin, A. R. Khamesi, Z. Bahr, S. Silvestri, D. A. Baker. A User-Centered Active Learning Approach for Appliance Recognition in the IEEE International Conference on Smart Computing (SMARTCOMP 2020)
[43] V. Agate, A. Khamesi, S. Gaglio, S. Silvestri. Enabling peer-to-peer User-Preference-Aware Energy Sharing Through Reinforcement Learning in the IEEE International Conference on Communications (ICC 2020)
[42] A. Khamesi, E. Shin, S. Silvestri. Machine Learning in the Wild: The Case of User-Centered Learning in Cyber P hysical Systems in the IEEE International Conference on COMmunication Systems & NETworkS (COMSNETS 2020)
[41] A. Khalifeh, N. Bartolini, S. Silvestri, G. Bongiovanni, A. Al-Assaf, R. Alwardat, S. Alhaj-Ali. Hybrid Wireless Sensor Networks: A Prototype in the IFIP Conference on Human-Computer Interaction (INTERACT 2019)
[40] V. K. Shah, S. Roy, S. Silvestri, S. K. Das. Bio-DRN: Robust and Energy-efficient Bio-inspired Disaster Response Networks in the IEEE International Conference on Mobile Ad-hoc and Smart Systems (MASS 2019)
[39] E. Casella, A. R. Khamesi, S. Silvestri. Smartwatch Application for Horse Gaits Activity Recognition
in the IEEE International Conference on Smart Computing (SMARTCOMP 2019)
[38] V. K. Shah, S. Silvestri, B. Luciano, S. K. Das. X-CHANT: A Diverse DSA based Architecture for Next-generation Challenged Networks in IEEE International Conference on Computer Communications (INFOCOM 2019) Acceptance rate: 19.7%
[37] K. Hazra, V. K. Shah, M. Bilal, S. Silvestri, S. K. Das, S. Nandi, S. Saha. A Novel Network Architecture for Resource-Constrained Post-Disaster Environments in the IEEE International Conference on COMmunication Systems & NETworkS (COMSNETS 2019)
[36] V. K. Shah, Satyaki Roy, S. Silvestri, S. K. Das. A Web Application for the Remote Control of Multiple Unmanned Aerial Vehicles in the ACM Workshop on Emergency Response Technologies and Services (Emertes 2019)
[35] R. Musmeci, K. Goss, S. Silvestri, G. Lo Re. A Web Application for the Remote Control of Multiple Unmanned Aerial Vehicles in the IEEE International Conference on Computing, Networking and Communications (ICNC 2019)
[34] V. K. Shah, S. Bhattacharjee, S. Silvestri, S. K. Das. An Effective Dynamic Spectrum Access based Network Architecture for Smart Cities in the IEEE International Smart Cities Conference (ISC2 2018), (invited paper)
[33] V. Dolce, C. Jackson, S. Silvestri, D. Baker, A. De Paola. Social-Behavioral Aware Optimization of Energy Consumption in Smart Homes in the IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS 2018)
[32] F. B. Sorbelli, S. K. Das, C. M. Pinotti, S. Silvestri. On the Accuracy of Localizing Terrestrial Objects Using Drones in the IEEE International Conference on Communications (ICC 2018)
[31] F. B. Sorbelli, S. K. Das, C. M. Pinotti, S. Silvestri. Precise Localization in Sparse Sensor Networks using a Drone with Directional Antennas in the ACM International Conference on Distributed Computing and Networking (ICDCN 2018)
[30] V. K. Shah, S. Bhattacharjee, S. Silvestri, S. K. Das. Designing Sustainable Smart Connected Communities using Dynamic Spectrum Access via Band Selection in the ACM International Conference on Systems for Energy-Efficient Built Environments (BuildSys 2017)
[29] K. Goss, R. Musmeci, S. Silvestri. Realistic Models for Characterizing the Performance of Unmanned Aerial Vehicles in the IEEE International Conference on Computer Communications and Networks (ICCCN 2017)
[28] S. Silvestri, D. Baker, V. Dolce. Integration of Social Behavioral Modeling for Energy Optimization in Smart Environments in the ACM International Workshop on Social Sensing (SocialSense 2017)
[27] V. Shah, S. Roy, S. Silvestri and S. K. Das. CTR: Cluster based Topological Routing for Disaster Response Network in the IEEE International Conference on Communications (ICC 2017)
[26] S. Bhattacharjee, A. Thakur, S. Silvestri and S. K. Das. Statistical Security Incident Forensics against Data Falsification in Smart Grid Advanced Metering Infrastructure in ACM Conference on Data and Applications Security and Privacy (CODASPY 2017)
[25] N. Bartolini, S. Ciavarella, S. Silvestri, T. La Porta. Network recovery after massive failures in IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2016) Acceptance rate: 20%
[24] S. Silvestri. Providing Ubiquitous Wireless Connectivity in Smart Cities through Dense Small Cell Deployment in IEEE Smart Cities Workshop-Kansas City 2016, position paper
[23] A. Sturaro, S. Silvestri, M. Conti, Sajal K. Das. Towards a realistic model for failure propagation in interdependent networks in IEEE International Conference on Computing, Networking and Communications (ICNC 2016)
[22] M. Lin, S. Silvestri, N. Bartolini, T. La Porta. Energy-Efficient Selective Activation in Femtocell Networks in IEEE International Conference on Mobile Ad-hoc and Sensor Systems (MASS 2015) Acceptance rate: 26%
[21] S. Silvestri, B. Holbert, P. Novotny, T. La Porta, A. Wolf and A. Swami. Inferring Network Topologies in MANETs Applied to Service Redeployment in IEEE International Conference on Computer Communication and Networks (ICCCN 2015) Acceptance rate: 25%
[20] S. Silvestri, R. Urgaonkar, M. Zafer, B. Ko. An online method for minimizing network monitoring overhead in IEEE International Conference on Distributed Computing Systems (ICDCS 2015) Acceptance rate: 12.8%
[19] B. Holbert, S. Tati, S. Silvestri, T. La Porta, A. Swami. Network Topology Inference with Partial Path Information in IEEE International Conference on Computing, Networking and Communications (ICNC 2015)
[18] S. Tati, S. Silvestri, T. He, T. La Porta. Robust Network Tomography in the Presence of Failures in IEEE International Conference on Distributed Computing Systems (ICDCS 2014) Acceptance rate: 13%
[17] N. Bartolini, G. Bongiovanni, T. La Porta, S. Silvestri, F. Vincenti(∗). Voronoi-based Deployment of Mobile Sensors in the Face of Adversaries in IEEE International Conference on Communications (ICC 2014)
[16] B. Holber, S. Tati, S. Silvestri, A. Swami, T. La Porta. Effects of Partial Topology on Fault Diagnosis in IEEE Military Communications Conference (MILCOM 2013)
[15] N. Bartolini, G. Bongiovanni, T. La Porta, S. Silvestri(∗). On the security vulnerabilities of the virtual force approach to mobile sensor deployment in IEEE Conference on Computer Communications (INFOCOM 2013) Acceptance rate: 17.4%
[14] S. Silvestri. MobiBar: Barrier Coverage with Mobile Sensors in IEEE Global Communications Conference (GLOBECOM 2011) Acceptance rate: 36.6%
[13] N. Bartolini, T. Calamoneri, T. La Porta, S. Silvestri(∗). Mobile sensor deployment in unknown fields in IEEE Conference on Computer Communications (INFOCOM mini-conferece 2011)
[12] L. Benini, D. Brunelli, C. Petrioli, S. Silvestri(∗). GENESI: Green sEnsor NEtworks for Structural monItoring”, (Poster) in IEEE Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON 2010)
[11] N. Bartolini, T. Calamoneri, T. La Porta, A. Massini, S. Silvestri(∗). Autonomous deployment of heterogeneous mobile sensors in IEEE Conference on Network Protocols (ICNP 2009) - Best paper award Acceptance rate: 18.2%
[10] E. Gelenbe, S. Silvestri(∗). Optimisation of Power Consumption in Wired Packet Networks in ICST Workshop on Advanced Architectures and Algorithms for Internet DElivery and Applications (AAA-IDEA 2009)
[9] E. Gelenbe, S. Silvestri(∗). Reducing Power Consumption In Wired Networks in IEEE Sympoium on Computer and Information Sciences (ISCIS 09)
[8] N. Bartolini, A. Massini, S. Silvestri(∗). P&P protocol: local coordination of mobile sensors for self-deployment in ACM Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems (MSWIM 2009) Acceptance rate: 23.5%
[7] N. Bartolini, T. Calamoneri, A. Massini, S. Silvestri(∗). Variable density deployment and topology control for the solution of the sink-hole problem in ICST Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness (QShine 2009)
[6] N. Bartolini, T. Calamoneri, E. G. Fusco, A. Massini, S. Silvestri(∗). Autonomous deployment of self-organizing mobile sensors for a complete coverage in IEEE Workshop on Self-Organizing Systems (IWSOS 2008)
[5] N. Bartolini, G. Bongiovanni, S. Silvestri(∗). Self-* overload control for distributed web systems in IEEE Workshop on Quality of Service (IWQoS 2008) Acceptance rate: 35.6%
[4] N. Bartolini, T. Calamoneri, E. G. Fusco, A. Massini, S. Silvestri(∗). Snap Spread: a self-deployment algorithm for mobile sensor networks”, (short paper) in IEEE Conference on Distributed Computing in Sensor Systems (DCOSS 2008)
[3] N. Bartolini, G. Bongiovanni, S. Silvestri(∗). An autonomic admission control policy for distributed web systems in IEEE/ACM Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS 2007). Acceptance rate: 33.2%
[2] N. Bartolini, G. Bongiovanni, S. Silvestri(∗). Distributed Server Selection and Admission Control in Replicated Web Systems in IEEE Symposium on Parallel and Distributed Computing, (ISPDC 2007)
[1] N. Bartolini, G. Bongiovanni, S. Silvestri(∗). An Adaptive Admission Control Policy for Geographically Distributed Web Systems in ACM Conference on Scalable Information Systems (INFOSCALE 2007)
(*) Authors’ names in alphabetical order.